We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning and deep learning solutions that drive innovation and business value. The ideal candidate will have hands-on experience with data preprocessing, model development, optimization, deployment, and monitoring in production environments. You will work cross-functionally with data scientists, data engineers, and software developers to integrate AI-driven features into our products and services.
Key Responsibilities:
Model Development & Implementation
- Design, train, and optimize machine learning and deep learning models for predictive analytics, natural language processing, computer vision, or recommendation systems.
- Perform feature engineering, data preprocessing, and exploratory data analysis (EDA).
- Evaluate models using appropriate metrics and validation techniques.
- Implement scalable ML pipelines and experiment tracking.
Deployment & MLOps
- Build and maintain end-to-end ML pipelines, from data ingestion to model serving.
- Deploy models into production using tools like Docker, Kubernetes, TensorFlow Serving, TorchServe, or MLflow.
- Monitor model performance, perform drift detection, and retrain models as needed.
- Collaborate with DevOps to ensure CI/CD for ML workflows.
Collaboration & Research
- Partner with data scientists, software engineers, and product managers to identify opportunities for AI integration.
- Stay up to date with emerging trends in AI, ML, and GenAI technologies.
- Contribute to technical documentation, code reviews, and internal knowledge sharing.
Data Management:
- Work closely with data engineering teams to ensure clean, structured, and accessible datasets.
- Apply techniques for data augmentation, dimensionality reduction, and data quality improvement.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field.
- 2–5+ years of experience (adjust based on role level) in building and deploying ML models in production.
- Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face Transformers, etc.
- Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, LSTMs, Transformers), and statistical modeling.
- Experience with SQL, Pandas, NumPy, and data visualization tools (Matplotlib, Seaborn, Plotly).
- Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications:
- Experience with large language models (LLMs) and generative AI (GenAI).
- Exposure to vector databases (Pinecone, FAISS, Milvus) and retrieval-augmented generation (RAG) systems.
- Background in data engineering (ETL, data pipelines) or software engineering (API development).
- Publications or contributions to open-source AI/ML projects.
Soft Skills:
- Strong analytical mindset and curiosity for data-driven insights.
- Ability to translate complex technical concepts into actionable business outcomes.
- Collaboration and teamwork across multi-disciplinary teams.
- Ownership mentality and accountability for deliverables.
Location: Goregaon East, Mumbai
Experience: 2-3 years
Salary: 60k per month
